The system 10 comprises an input 2 for accessing the suitable input data. The core of the system 10 is formed by a processor 4 which is arranged to operate the components of the system 10, it being the input 2, a computing unit 5, a working memory 6. The computing unit 5 preferably comprises a suitable number of executable subroutines 5a, 5b, 5c, 5d, 5e, and 5f to enable a constructing of a geometric model of the movable body based on the results of the segmentation step, finding a spatial correspondence between the first and second image dataset, mapping the texture image dataset on geometric model, fusing the geometric model and the mapped texture image dataset. The apparatus 10 according to the invention further comprises a coder 7 arranged to code the determined region of interest in accordance to a pre-selected criterion. The criterion may be selectable from a list of valid criteria, stored in a file 7a. Preferably, the coder 7, the computing unit 5 and the processor 4 are operable by a computer program 3, preferably stored in memory 8. An output 9 is used for outputting the results of the processing, like fused image data representing the textured, preferably animated geometric model of the movable body. The invention further relates to a method for integration of medical diagnostic information and a geometric model of a movable body and to a computer program.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A method for integration of medical diagnostic information and a geometric model of a movable body based on a first dataset comprising shape and motion information about the movable body and a second dataset comprising medical diagnostic information about the movable body, said method comprising the steps of: selecting for the first dataset results of a segmentation step of an image dataset comprising said shape and motion information, whereby said results comprise information on at least a shape of the movable body; selecting for the second dataset a texture image dataset comprising said medical diagnostic information; constructing the geometric model of the movable body based on said results of the segmentation step, whereby said geometric model is representative of at least a shape of the movable body; determining a spatial correspondence information between the results of the segmentation step and the texture image dataset; fusing the geometric model and the texture image dataset using said spatial correspondence information yielding a textured geometric model of the movable body.
2. A method according to claim 1 , wherein the results of the segmentation step comprise information on the shape and the motion of said body, and whereby for the geometric model a deformable geometric model representative of the shape and the motion of said body is selected.
3. A method according to claim 1 , wherein the method further comprises the step of: segmenting the image dataset yielding said information on at least the geometry of the movable body.
4. A method according to claim 3 , wherein for the movable body a body with pre-determined shape and/or motion parameterization is selected, the method further comprising the step of: segmenting the image dataset using said shape and/or motion parameterization.
5. A method according to claim 4 , wherein the determination of the spatial correspondence is obtained by segmenting the texture image dataset using the shape and/or motion parameterization of the movable body.
6. A method according to claim 3 , said method further comprises the step of: visualizing an animated textured geometric model on a display means.
7. A method according to claim 1 , said method further comprising the step of: visualizing the textured geometric model on a display means.
8. A method according to claim 1 , wherein the method further comprises the step of: further segmenting regions of the textured geometric model in accordance with a pre-determined criterion to yield regions of interest; displaying regions of interest on the display means.
9. A method according to claim 1 , whereby for the movable body a beating heart is selected, and whereby the information on the geometry of the beating heart comprises information on the geometry of myocardium.
10. A method according to claim 1 , whereby for second dataset comprising medical diagnostic information about the movable body a texture image derived from a contrast-enhanced scan is selected.
11. A method according to claim 1 , said method further comprising a step of: acquiring using a data acquisition means the image dataset and a further image dataset, whereby the further image dataset is used to obtain the texture image dataset.
12. A system according to claim 11 , said system further comprising a display for displaying the textured geometric model.
13. A system according to claim 11 , whereby the computation unit is further arranged to compute a deformable geometric model based on the image dataset, whereby for the deformable geometric model a deformable geometric model representative of the shape and the motion of the body is selected.
14. A system according to claim 13 , whereby said system further comprises a display for displaying the deformable, preferably animated geometric model.
15. A system for enabling an integration of medical diagnostic information and a geometric model of a movable body based on a first dataset comprising shape and motion information about the movable body and a second dataset comprising medical diagnostic information about the movable body, said system comprising: an input for: i) accessing the first dataset comprising results of a segmentation step of the image dataset, whereby said results comprise information on a shape of the movable body; ii) accessing the second dataset comprising a texture image dataset; a computation unit for: i) constructing the geometric model of the movable body based on said results of the segmentation step, whereby said geometric model is representative of at least a shape of the movable body; ii) determining a spatial correspondence between the image dataset and the texture image dataset; iii) fusing the geometric model and the texture image dataset yielding a textured geometric model of the movable body; a storage unit for storing the textured geometric model of the movable body.
16. A system according to claim 15 , said system further comprising a data acquisition unit for acquiring the image dataset and a further image dataset, said further image dataset being conceived to be used to yield the texture image dataset.
17. A computer program stored on a non-transitory computer readable medium for integration of medical diagnostic information and a geometric model of a movable body based on a first dataset comprising shape and motion information about the movable body and a second dataset comprising medical diagnostic information about the movable body, said computer program comprising instructions for causing a processor to carry out the steps of: accessing for the first dataset an image dataset comprising said shape and motion information, whereby said results comprise information on at least a shape of the movable body; accessing for the second dataset a texture image dataset comprising said medical diagnostic information; constructing the geometric model of the movable body based on said results of the segmentation step, whereby said geometric model is representative of at least a shape of the movable body; determining a spatial correspondence information between the results of the segmentation step and the texture image dataset; fusing the geometric model and the texture image dataset using said spatial correspondence information yielding a textured geometric model of the movable body.
18. A computer program according to claim 17 , wherein the results of the segmentation step comprise information on the shape and the motion of said body, and whereby the computer program further comprises an instruction for the processor to carry out the step of: compute a deformable geometric model representative of the shape and the motion of said body based on said shape and motion information.
19. A computer program according to claim 17 , whereby the computer program comprises a further instruction for the processor to carry out the step of: segmenting the image dataset yielding said shape/or shape and motion information of the movable body.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
December 16, 2005
October 26, 2010
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